Ashok Prakash is a Staff Engineer at Apple, where he leads engineering initiatives for Responsible AI and safety infrastructure. He specializes in designing high-performance cloud platforms that make complex GPU-accelerated workloads reliable and easy to use. His work focuses on turning difficult infrastructure problems into predictable, self-service systems that allow engineering teams to move faster without breaking things.

Before joining Apple, Ashok spent six years at Oracle Cloud as a Senior Principal Engineer. There, he led the platform engineering efforts to build a Kubernetes-based GPU platform that abstracted bare-metal clusters behind simple APIs. His work allowed product teams to launch AI workloads in minutes instead of days, providing consistent provisioning, quota controls, and clear cost visibility. He has extensive experience building multi-tenant schedulers, automating cluster lifecycles, and creating developer tools that enforce good defaults for security and observability.

Ashok is a regular speaker at engineering and data conferences, including the Airflow Summit, AI Risk Summit and Linux Foundation Workshops, where he shares practical, vendor-neutral patterns for using AI safely. His talks often cover topics like automating documentation, generating unit tests, and establishing human-in-the-loop review processes for AI-generated code.

Ashok holds three published U.S. patent applications and has authored multiple international publications in AI and NLP, which have been cited by both academic researchers and industry practitioners. His core philosophy is simple: pave the path so the right thing is the easy thing to do.

Based in Seattle, Ashok also contributes practical guidance on AI adoption for non-specialists. He is the author of Human Reimagined: Thriving in the Age of AI, a guide for professionals looking to use AI as a helpful assistant rather than a source of anxiety.